Cognitive Interference Management in Heterogeneous Networks

Nonfiction, Computers, Networking & Communications, Hardware, Science & Nature, Technology, Telecommunications
Cover of the book Cognitive Interference Management in Heterogeneous Networks by Dania Marabissi, Romano Fantacci, Springer International Publishing
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Author: Dania Marabissi, Romano Fantacci ISBN: 9783319201917
Publisher: Springer International Publishing Publication: June 24, 2015
Imprint: Springer Language: English
Author: Dania Marabissi, Romano Fantacci
ISBN: 9783319201917
Publisher: Springer International Publishing
Publication: June 24, 2015
Imprint: Springer
Language: English

This brief investigates the role of interference management in Heterogeneous Networks (Het Nets), focusing on cognitive approaches and the use of beamforming. Key concepts of Het Nets are introduced and different deployment strategies are examined, such as sharing the same frequency band of the macro cells or using new high frequency bands. Particular attention is devoted to co-channel deployment and to the problem of interference management, addressing various strategies that can be adopted to handle the interference between the cells.

In addition, the brief explores cognitive small cells which are able to avoid or limit interference by using suitable beamforming and resource allocation schemes. The suggested solutions are supported by numerical results in terms of performance evaluations and comparisons.

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This brief investigates the role of interference management in Heterogeneous Networks (Het Nets), focusing on cognitive approaches and the use of beamforming. Key concepts of Het Nets are introduced and different deployment strategies are examined, such as sharing the same frequency band of the macro cells or using new high frequency bands. Particular attention is devoted to co-channel deployment and to the problem of interference management, addressing various strategies that can be adopted to handle the interference between the cells.

In addition, the brief explores cognitive small cells which are able to avoid or limit interference by using suitable beamforming and resource allocation schemes. The suggested solutions are supported by numerical results in terms of performance evaluations and comparisons.

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